DeepLX has designed a two-level caching architecture to optimize resource utilization:
- memory cacheAdopts LRU algorithm to cache the last 1000 translation results, reducing the response time to less than 15ms.
- KV Persistence Cache: Retain high-frequency content with Cloudflare KV storage, cache hits up to 35%
- Intelligent Refresh Mechanism: Long-term caching for specialized terminology and 30-day TTL for everyday language.
Practice has shown that in the literature translation scenario, duplicate translation requests for the same terminology are reduced by 721 TP3T, and the overall API call volume is reduced by 401 TP3T. the system also supports the translation of the same terminology by setting theX-Cache-Force-RefreshThe header forces a refresh of specific content.
This answer comes from the articleDeepLX: free DeepL and Google Translate API servicesThe
May not be reproduced without permission:AI productivity tools " DeepLX's Dual-Layer Caching System Significantly Improves Translation Efficiency for Duplicate Content
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